Yufei Zhao

The Modeling and Simulation of the Galvanic Coupling Intra-Body Communication via Handshake Channel

Intra-body communication (IBC) is a technology using the conductive properties of the body to transmit signal, and information interaction by handshake is regarded as one of the important applications of IBC. In this paper, a method for modeling the galvanic coupling intra-body communication via handshake channel is proposed, while the corresponding parameters are discussed. Meanwhile, the mathematical model of this kind of IBC is developed. Finally, the validity of the developed model has been verified by measurements. Moreover, its characteristics are discussed and compared with that of the IBC via single body channel. Our results indicate that the proposed method will lay a foundation for the theoretical analysis and application of the IBC via handshake channel.

Mathematical simulation of the space-variant lens array used for retina-like image sensor

A novel retina-like image sensor based on space-variant lens array is proposed, in which a space-variant lens array is used for performing log-polar mapping. Firstly, the mathematical models are developed and verified. Secondly, the relationships among the parameters of the space-variant lens have been simulated and discussed. Finally, some conclusions are deduced, which will help to result in a retina-like image sensor with the characteristics of high speed, large resolution, high sensitivity and big planar array, etc.

Spatio-Temporal Context Tracking Algorithm Based on Master-Slave Memory Space Model.

The spatio-temporal context (STC) tracking algorithm has the advantages of high tracking accuracy and speed, but it may update the target template incorrectly under complex background and interference conditions. A spatio-temporal context tracking algorithm based on master-slave memory space model is proposed in this paper. The algorithm introduces the memory mechanism of Human Visual System (HVS) into the template updating process of STC algorithm, and forms a memory-based update strategy by constructing the master and slave memory spaces. Meanwhile, a method for determining the target location from multi peak points of saliency is proposed. Experimental results indicate that the proposed algorithm has comparatively high accuracy and robustness in the case of the target under occlusion, attitude changes, the target missing and appearing, and illumination changes, etc.

Detecting Infrared Target with Receptive Field and Lateral Inhibition of HVS.

In this paper, we proposed an infrared (IR) target detection method based on the receptive field (RF) and lateral inhibition (LI). In this method, the direction parameters of Gabor filter is adaptively determined according to the gradient direction. And a background prediction method based on LI is used for regulating the gray value in image so as to achieve background suppression and target enhancement. Experimental results indicate that the proposed method can extract both small and area target from complex background, and the target detection ability is satisfactory.

Infrared target detection method based on the receptive field and lateral inhibition of human visual system

In this paper, an infrared target adaptive detection method based on the receptive field and lateral inhibition (LI) of the human visual system is proposed. In the proposed method, the direction parameters of a Gabor filter are adaptively determined according to the gradient direction, so that edges in the image can be detected without manual intervention. Meanwhile, background prediction based on LI is used for regulating the gray value in the image to achieve background suppression and target enhancement. Experimental results indicate that the proposed method can extract both the small target and the area target from a complex background, and has satisfactory target detection ability.

Infrared dim small target segmentation method based on ALI-PCNN model

Pulse Coupled Neural Network (PCNN) is improved by Adaptive Lateral Inhibition (ALI), while a method of infrared (IR) dim small target segmentation based on ALI-PCNN model is proposed in this paper. Firstly, the feeding input signal is modulated by lateral inhibition network to suppress background. Then, the linking input is modulated by ALI, and linking weight matrix is generated adaptively by calculating ALI coefficient of each pixel. Finally, the binary image is generated through the nonlinear modulation and the pulse generator in PCNN. The experimental results show that the segmentation effect as well as the values of contrast across region and uniformity across region of the proposed method are better than the OTSU method, maximum entropy method, the methods based on conventional PCNN and visual attention, and the proposed method has excellent performance in extracting IR dim small target from complex background.

The Simulation of the Recharging Method Based on Solar Radiation for an Implantable Biosensor.

A method of recharging implantable biosensors based on solar radiation is proposed. Firstly, the models of the proposed method are developed. Secondly, the recharging processes based on solar radiation are simulated using Monte Carlo (MC) method and the energy distributions of sunlight within the different layers of human skin have been achieved and discussed. Finally, the simulation results are verified experimentally, which indicates that the proposed method will contribute to achieve a low-cost, convenient and safe method for recharging implantable biosensors.

Research on the space-variant image sensor based on optical method

A novel space-variant image sensor based on optical method is proposed. Firstly, the mathematical models of the proposed image sensor and its non-uniform lens array are developed and verified. Secondly, the relationships among the parameters of the non-uniform lens have been simulated and discussed. Thirdly, experiments are carried out for verifying the characteristic of rotation and scaling invariance of the proposed image sensor. Finally, some conclusions are deduced, which will help to result in a space-variant image sensor with the characteristics of high sensitivity, high speed and big planar array, etc.